National Repository of Grey Literature 26 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Path Planning for Autonomous Vacuum Cleaners
Hranický, Jan ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
Complete coverage path planning is a task of finding such path that passes over all points in given area at least once. This thesis applies complete coverage path planning to autonomous vacuum cleaner robots. Thesis summarises current deal of autonomous vacuum cleaner robots. But mainly it focuses on describing complete coverage algorithms. Selected algorithms are implemented using Java vizlib library.
Optimal path planning for electric vehicles
Horák, Filip ; Šoustek, Petr (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is about optimal route planning for electric vehicles. The first, theoretical part of this work introduces the issue and describes several heuristic methods that have been used to address optimization tasks. A practical part of the thesis is based around software implementation of the methods described earlier. Finally, several experiments and comparisons of obtained results are carried out.
Trajectory planning of Vehicle with Four Independently Steered Wheels
Śniežek, Roman ; Dobossy, Barnabás (referee) ; Brablc, Martin (advisor)
This thesis focuses on a kinematic model of a four-wheel steering vehicle and its simulation. The aim of the thesis is to use the kinematic model and path following algorithms to create a trajectory as a vector of the wheel steering angles dependent on a time and the distance travelled. This trajectory provides a collision-free transfer from starting position to the goal on a map with static obstacles. This could be used in an autonomous vehicle while navigating in a known enviroment
Pathfinding application in computer game
Tihlařík, Miroslav ; Hůlka, Tomáš (referee) ; Dobrovský, Ladislav (advisor)
This thesis deals with the description and comparison of various map grids and pathfindng algorithms used in the video game environment.
Path planning for multiple robots
Sekáč, Ondřej ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This master thesis deals with path planning for multiple mobile robots. The theoretical part describes robot navigation -- mapping and path planning. Selected methods of artificial intelligence used in multi-robot path planning are described. In practical part simulator is implemented, in which selected algorithms were compared using experiments.
Advanced methods of mobile robot path planning
Maňáková, Lenka ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This work is focused on advanced methods of mobile robot's path planning. The theoretical part describes selected graphical methods, which are useful for speeding up the process of finding the shortest paths, for example through reduction of explored nodes of the state space. In the practical part was created simulate environment in the Python language and in this environment, selected algorithms was implemented.
Path planning in uncertain environment by means of AO* algorithm
Foukal, Jakub ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
Master thesis is dedicated to path planning in uncertain environment focusing on AO* methods. In practical part it focuses on designing and implementation of own solving method for searching And/Or graph. To perform comparative experiments it was created a simulation program, which allows to test implemented algorithms.
PLC Control of Mobile Robotics Platform
Konečný, Michael ; Lang, Stanislav (referee) ; Matoušek, Radomil (advisor)
The aim of this master's thesis was to create a design for a prototype of a mobile robotic platform and its physical fabrication. Another goal of this master's thesis was to develop a control algorithm and its implementation into a prototype. In addition, the thesis was extended by an autonomous motion mode, an algorithm for robot path planning, and the design of the Human Machine Interface (HMI). The introduction contains a description of some already created mobile robotic platforms, a presentation of the company B&R and the theory needed to understand omnidirectional mobility. The next chapters describe the design and construction of a prototype with a selection of electronic components and their wiring, implementation of an algorithm for robot path planning, implementation of a control algorithm and design, together with the implementation of the user environment. At the end of this master's thesis, the possibilities of extending the project to future years are described.
Mobile robot path planning by means of cellular automata
Gofroj, Patrik ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis describes certain ways of mobile robot path planning. The main concern of this thesis are cellular automata and their usage in this problem of searching of optimal path.
Real-time path planning
Bartozel, Zdeněk ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
The thesis deals with the path planning and movement of the holonomic robot in a dynamic environment. The aim of this work is implementation of several algorithms based on Rapidly-explored random tree algorithm and their comparison in designed dynamic environment.

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